Accelerate your machine learning applications with, the powerful vector database built for high-performance similarity search.


What is is a cutting-edge vector database solution designed specifically for machine learning applications. It provides a high-performance, scalable, and efficient platform for storing and querying large-scale vector data, enabling developers and data scientists to build powerful applications that rely on similarity search and nearest neighbor retrieval.


  • High-performance similarity search
  • Scalable and reliable
  • Easy integration with ML frameworks
  • Efficient indexing and querying
  • Secure and compliant


  • Limited free tier
  • Specialized use case
  • Potential vendor lock-in

Key Features:

  • Vector Database: is optimized for storing and querying high-dimensional vector data, enabling efficient similarity search and nearest neighbor retrieval.
  • Scalable Architecture: The platform is designed to scale seamlessly, handling billions of vectors and high query volumes with low latency.
  • Integration with ML Frameworks: offers seamless integration with popular machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
  • Efficient Indexing and Querying: Advanced indexing techniques and query optimization ensure fast and accurate search results.
  • Security and Compliance: prioritizes data security and privacy, adhering to industry standards and compliance regulations.

Pricing: offers flexible pricing plans to accommodate various project needs:

  • Starter Plan: Free (includes 1 million vectors, 10,000 queries/month, and basic features)
  • Pro Plan: $0.30 per million vectors/month (includes advanced features, priority support, and higher limits)
  • Enterprise Plan: Custom pricing (tailored to the specific needs of large organizations, with dedicated support and enhanced security)


Published at:May 30, 2024 (1mo ago)
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